Mastering RethinkDB. (2016)
- Record Type:
- Book
- Title:
- Mastering RethinkDB. (2016)
- Main Title:
- Mastering RethinkDB
- Further Information:
- Note: Shahid Shaikh.
- Authors:
- Shaikh, Shahid
- Contents:
- Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The RethinkDB Architecture and Data Model; RethinkDB architectural components; Client drivers; RethinkDB query engine; RethinkDB clusters; Pushing changes to a RethinkDB client; Query execution in RethinkDB; Filesystem and data storage; About direct I/O; Data storage; Sharding and replication; Sharding in RethinkDB; Range-based sharding; Replication in RethinkDB; Indexing in RethinkDB; Automatic failover handling in RethinkDB; About voting replicas The RethinkDB data modelRethinkDB data types; Binary objects; Geospatial queries in RethinkDB; Supported data types; RethinkDB model relationships; Embedded arrays; Merits of embedded arrays; Demerits of embedded arrays; Document linking in multiple tables; Merits of document linking; Demerits of document linking; Constraints and limitation in RethinkDB; Summary; Chapter 2: RethinkDB Query Language; Embedding ReQL in a programming language; Performing CRUD operations using RethinkDB and Node; Creating new records; Reading the document data; Updating the document; Deleting the document ReQL queries are chainableReQL queries are executed on a server; Performing conditional queries; Performing string operations; Performing MapReduce operations; Grouping the data; Counting the data; Sum; Avg; Min and Max; Distinct; Contains; Map and reduce; Calling HTTP APIs using ReQL; Handling binary objects; Performing JOINS;Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The RethinkDB Architecture and Data Model; RethinkDB architectural components; Client drivers; RethinkDB query engine; RethinkDB clusters; Pushing changes to a RethinkDB client; Query execution in RethinkDB; Filesystem and data storage; About direct I/O; Data storage; Sharding and replication; Sharding in RethinkDB; Range-based sharding; Replication in RethinkDB; Indexing in RethinkDB; Automatic failover handling in RethinkDB; About voting replicas The RethinkDB data modelRethinkDB data types; Binary objects; Geospatial queries in RethinkDB; Supported data types; RethinkDB model relationships; Embedded arrays; Merits of embedded arrays; Demerits of embedded arrays; Document linking in multiple tables; Merits of document linking; Demerits of document linking; Constraints and limitation in RethinkDB; Summary; Chapter 2: RethinkDB Query Language; Embedding ReQL in a programming language; Performing CRUD operations using RethinkDB and Node; Creating new records; Reading the document data; Updating the document; Deleting the document ReQL queries are chainableReQL queries are executed on a server; Performing conditional queries; Performing string operations; Performing MapReduce operations; Grouping the data; Counting the data; Sum; Avg; Min and Max; Distinct; Contains; Map and reduce; Calling HTTP APIs using ReQL; Handling binary objects; Performing JOINS; Accessing changefeed (real-time feed) in RethinkDB; Applications of changefeed; Performing geolocation operations; Storing a coordinate; Finding the distance between points; Performing administrative operations; Summary; Chapter 3: Data Exploration Using RethinkDB Generating mock dataImporting data in RethinkDB using HTTP; Importing data via file read; Executing data exploration use cases; Finding duplicate elements; Finding the list of countries; Finding the top 10 employees with the highest salary; Displaying employee records with a specific name and location; Finding employees living in Russia with a salary less than 50, 000 dollars; Finding employees with a constant contact e-mail address; Finding employees who use class a C IP address; Summary; Chapter 4: Performance Tuning in RethinkDB; Clustering; Creating and handling a RethinkDB cluster Creating a RethinkDB cluster in the same machineCreating a RethinkDB cluster using different machines; Creating a RethinkDB cluster in production; Securing our RethinkDB cluster; Using transport layer security; Binding the web administrative port; Executing ReQL queries in a cluster; Performing replication of tables in RethinkDB; Sharding the table to scale the database; Running a RethinkDB proxy node; Optimizing query performance; Summary; Chapter 5: Administration and Troubleshooting Tasks in RethinkDB; Understanding access controls and permission in RethinkDB; RethinkDB user management … (more)
- Publisher Details:
- Birmingham : Packt Publishing
- Publication Date:
- 2016
- Extent:
- 1 online resource (330 pages)
- Subjects:
- 005.75
COMPUTERS -- Databases -- General
COMPUTERS -- Data Processing
COMPUTERS -- Databases -- Data Warehousing
Database management
Application software -- Development
Application software -- Development
Database management
Electronic books - Languages:
- English
- ISBNs:
- 9781786468628
- Related ISBNs:
- 178646862X
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.106786
- Ingest File:
- 01_020.xml